NOTE: this feature is not ready for user testing, and not yet enabled in daily builds. It is being merged now for easier collaboration on development. HIP is a heterogenous compute interface allowing C++ code to be executed on GPUs similar to CUDA. It is intended to bring back AMD GPU rendering support on Windows and Linux. https://github.com/ROCm-Developer-Tools/HIP. As of the time of writing, it should compile and run on Linux with existing HIP compilers and driver runtimes. Publicly available compilers and drivers for Windows will come later. See task T91571 for more details on the current status and work remaining to be done. Credits: Sayak Biswas (AMD) Arya Rafii (AMD) Brian Savery (AMD) Differential Revision: https://developer.blender.org/D12578
121 lines
3.5 KiB
C++
121 lines
3.5 KiB
C++
/*
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* Copyright 2011-2013 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "blender/blender_device.h"
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#include "blender/blender_session.h"
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#include "blender/blender_util.h"
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#include "util/util_foreach.h"
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CCL_NAMESPACE_BEGIN
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enum ComputeDevice {
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COMPUTE_DEVICE_CPU = 0,
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COMPUTE_DEVICE_CUDA = 1,
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COMPUTE_DEVICE_OPTIX = 3,
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COMPUTE_DEVICE_HIP = 4,
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COMPUTE_DEVICE_NUM
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};
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int blender_device_threads(BL::Scene &b_scene)
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{
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BL::RenderSettings b_r = b_scene.render();
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if (b_r.threads_mode() == BL::RenderSettings::threads_mode_FIXED)
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return b_r.threads();
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else
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return 0;
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}
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DeviceInfo blender_device_info(BL::Preferences &b_preferences, BL::Scene &b_scene, bool background)
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{
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PointerRNA cscene = RNA_pointer_get(&b_scene.ptr, "cycles");
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/* Find cycles preferences. */
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PointerRNA cpreferences;
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for (BL::Addon &b_addon : b_preferences.addons) {
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if (b_addon.module() == "cycles") {
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cpreferences = b_addon.preferences().ptr;
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break;
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}
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}
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/* Default to CPU device. */
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DeviceInfo device = Device::available_devices(DEVICE_MASK_CPU).front();
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if (BlenderSession::device_override != DEVICE_MASK_ALL) {
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vector<DeviceInfo> devices = Device::available_devices(BlenderSession::device_override);
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if (devices.empty()) {
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device = Device::dummy_device("Found no Cycles device of the specified type");
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}
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else {
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int threads = blender_device_threads(b_scene);
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device = Device::get_multi_device(devices, threads, background);
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}
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}
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else if (get_enum(cscene, "device") == 1) {
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/* Test if we are using GPU devices. */
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ComputeDevice compute_device = (ComputeDevice)get_enum(
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cpreferences, "compute_device_type", COMPUTE_DEVICE_NUM, COMPUTE_DEVICE_CPU);
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if (compute_device != COMPUTE_DEVICE_CPU) {
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/* Query GPU devices with matching types. */
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uint mask = DEVICE_MASK_CPU;
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if (compute_device == COMPUTE_DEVICE_CUDA) {
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mask |= DEVICE_MASK_CUDA;
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}
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else if (compute_device == COMPUTE_DEVICE_OPTIX) {
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mask |= DEVICE_MASK_OPTIX;
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}
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else if (compute_device == COMPUTE_DEVICE_HIP) {
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mask |= DEVICE_MASK_HIP;
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}
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vector<DeviceInfo> devices = Device::available_devices(mask);
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/* Match device preferences and available devices. */
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vector<DeviceInfo> used_devices;
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RNA_BEGIN (&cpreferences, device, "devices") {
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if (get_boolean(device, "use")) {
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string id = get_string(device, "id");
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foreach (DeviceInfo &info, devices) {
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if (info.id == id) {
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used_devices.push_back(info);
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break;
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}
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}
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}
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}
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RNA_END;
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if (!used_devices.empty()) {
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int threads = blender_device_threads(b_scene);
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device = Device::get_multi_device(used_devices, threads, background);
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}
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/* Else keep using the CPU device that was set before. */
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}
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}
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if (!get_boolean(cpreferences, "peer_memory")) {
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device.has_peer_memory = false;
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}
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return device;
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}
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CCL_NAMESPACE_END
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